Stanford Online Products
A classical benchmark dataset for image retrieval in metric learning. It contains approximately 120,000 online product images across more than 20,000 classes, with subtle visual differences between classes, testing fine-grained similarity discrimination.
Timeline (last 90 days)
With a ResNet-50 backbone, the FDSML-pretrained model improved Recall@1 on the Stanford Online Products dataset from 65.6% to 74.0%.
Stanford Online Products (SOP) is a classic metric learning benchmark containing about 120,000 online product images across more than 20,000 classes.
All Facts (2)
With a ResNet-50 backbone, the FDSML-pretrained model improved Recall@1 on the Stanford Online Products dataset from 65.6% to 74.0%.
50%UnverifiedStanford Online Products (SOP) is a classic metric learning benchmark containing about 120,000 online product images across more than 20,000 classes.
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